- Design and develop interactive dashboards and reports using Power BI Desktop and Power BI Service.
- Connect, clean, and transform data from multiple sources including Excel, SQL databases, SharePoint, APIs, and cloud-based data sources.
- Write DAX measures, calculated columns, and basic Power Query transformations to support business KPIs.
- Collaborate with business stakeholders to understand reporting requirements and convert them into clear visual dashboards.
- Ensure data accuracy, consistency, and quality across reports and dashboards.
- Support the maintenance, troubleshooting, and optimisation of existing Power BI reports.
- Assist in creating reusable data models, semantic models, and reporting templates.
- Document report logic, data sources, data models, and transformation steps for knowledge sharing.
- Participate in team meetings, sprint planning, requirement discussions, and review cycles.
- Explore and support the use of Power BI MCP servers or similar integration approaches for connecting Power BI with AI-assisted workflows and external tools.
- Assist in evaluating how AI tools can be used for faster data analysis, DAX generation, report documentation, insight generation, and dashboard development.
- Support basic integration of Power BI reports into web applications or internal portals, where required.
Required Skills and Qualifications
- Education: BE / BTech / BSc student in Computer Science, Information Science, Data Science, IT, or related field.
- Experience: Fresher / up to 1 year of academic, internship, or project experience.
- Strong interest in Business Intelligence, Data Analytics, Reporting, and Automation.
- Ability to learn quickly and work in a collaborative team environment.
Technical Skills
- Hands-on experience or academic project exposure to Power BI Desktop and Power BI Service.
- Basic understanding of DAX and Power Query / M language.
- Familiarity with data modelling concepts such as star schema, relationships, hierarchies, fact tables, and dimension tables.
- Working knowledge of Microsoft Excel for data preparation and analysis.
- Basic SQL knowledge for querying relational databases.
- Exposure to data sources such as Excel, CSV, SQL Server, SharePoint, REST APIs, or cloud databases.
- Understanding of dashboard design principles, including layout, filters, drill-through, bookmarks, and user-friendly navigation.
- Basic knowledge of Power BI workspace, publishing, refresh schedules, access permissions, and report sharing.
- Good understanding of data validation, data quality checks, and reconciliation.
- Awareness of Power BI MCP servers, AI agents, or tool-based integrations will be an added advantage.
- Basic knowledge of web application development using HTML, CSS, JavaScript, React, Angular, or similar technologies is good to have.
- Familiarity with embedding Power BI reports into web applications or portals is an added advantage.
- Exposure to AI tools such as ChatGPT, Copilot, or similar platforms for productivity, analytics, documentation, or code assistance is desirable.
- Basic understanding of APIs, JSON, and data integration concepts is good to have.
Good to Have Skills
- Knowledge of Microsoft Fabric, OneLake, Dataflows, or Power BI semantic models.
- Exposure to Python or R for data analysis.
- Understanding of Git or basic version control practices.
- Experience with academic or personal dashboard projects.
- Ability to use AI responsibly for generating insights, improving DAX, creating documentation, and accelerating analysis.
- Interest in automation, AI-assisted reporting, and modern BI platforms.
Soft Skills
- Strong attention to detail with a structured and analytical approach to problem-solving.
- Good communication skills with the ability to explain data insights to non-technical stakeholders.
- Curiosity to explore new tools, technologies, and AI-enabled workflows.
- Ability to work independently as well as in a team.
- Willingness to learn and adapt in a fast-paced environment.

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